Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG.

ABSTRACT:

Background

Spreading depolarizations (SDs) are a biomarker and a potentially treatable mechanism of worsening brain injury after traumatic brain injury (TBI). Noninvasive detection of SDs could transform critical care for brain injury patients but has remained elusive. Current methods to detect SDs are based on invasive intracranial recordings with limited spatial coverage. In this study, we establish the feasibility of automated SD detection through noninvasive scalp electroencephalography (EEG) for patients with severe TBI.

Methods

Building on our recent WAVEFRONT algorithm, we designed an automated SD detection method. This algorithm, with learnable parameters and improved velocity estimation, extracts and tracks propagating power depressions using low-density EEG. The da

SUBMITTER: Chamanzar A 

PROVIDER: S-EPMC10439895 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature